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Yossi Sheffi. Yip, Jennifer J. (Jennifer Jaclyn) Massachusetts Institute of Technology. Technology and Policy Program. Massachusetts Institute of Technology. Engineering Systems Division Technology and Policy Program 2015-09-17T18:59:13Z 2015-09-17T18:59:13Z 2015 2015 http://hdl.handle.net/1721.1/98606 920471664 Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2015. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 138-140). Globalization, outsourcing, and the emphasis on lean supply chains continue to shape the supply chain industry. These trends have increased the prevalence and severity of disruptions to upstream supply. Disruptions to upstream supply can delay and potentially halt the flow of necessary materials and/or services to purchasing firms, often resulting in severe operational and financial losses. This has created a growing need for effective risk assessment techniques to evaluate the impact of disruptions and inform risk mitigation policies. As a result, many methodologies have been developed to assess risk by estimating the likelihood and impact of disruptions. Given the inherent difficulty in estimating the likelihood of disruptions, this thesis focuses on assessing the risk of supply shortfall independent of the causes and likelihoods of such disruptions. This thesis presents an optimization-based framework to assess the risk of both complete and partial supply disruptions and comments on inventory and procurement mitigation strategies. The framework is used to compare two allocation policies (fair allocation and preferential product allocation) for the distribution of scarce inventory in times of disruption. The framework is then applied to data from a food products manufacturer to determine the impacts of a disruption in the supply of two components feeding dozens of products. by Jennifer J. Yip. S.M. in Technology and Policy 140 pages eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Engineering Systems Division. Technology and Policy Program. Evaluating upstream supply chain disruptions with partial availability Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="fb58df7c-9032-400f-b899-29150a7c38b3"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Evaluating upstream supply chain disruptions with partial availability</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2015</PublicationDate> <Authors> <Author> <DisplayName>Yip, Jennifer J. (Jennifer Jaclyn)</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Engineering Systems Division.</Keyword> <Keyword>Technology and Policy Program.</Keyword> <Abstract>Globalization, outsourcing, and the emphasis on lean supply chains continue to shape the supply chain industry. These trends have increased the prevalence and severity of disruptions to upstream supply. Disruptions to upstream supply can delay and potentially halt the flow of necessary materials and/or services to purchasing firms, often resulting in severe operational and financial losses. This has created a growing need for effective risk assessment techniques to evaluate the impact of disruptions and inform risk mitigation policies. As a result, many methodologies have been developed to assess risk by estimating the likelihood and impact of disruptions. Given the inherent difficulty in estimating the likelihood of disruptions, this thesis focuses on assessing the risk of supply shortfall independent of the causes and likelihoods of such disruptions. This thesis presents an optimization-based framework to assess the risk of both complete and partial supply disruptions and comments on inventory and procurement mitigation strategies. The framework is used to compare two allocation policies (fair allocation and preferential product allocation) for the distribution of scarce inventory in times of disruption. The framework is then applied to data from a food products manufacturer to determine the impacts of a disruption in the supply of two components feeding dozens of products.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>